Online task-scheduling for fault-tolerant low-energy real-time systems

被引:0
|
作者
Wei, Tongquan [1 ]
Mishra, Piyush [1 ]
Wu, Kaijie [2 ]
Liang, Han [2 ]
机构
[1] Michigan Technol Univ, ECE Dept, Houghton, MI 49931 USA
[2] Univ Illinois, ECE Dept, Chicago, IL 60607 USA
关键词
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper we investigate fault tolerance and Dynamic Voltage Scaling (DVS) in hard real time systems. We present two low-complexity fault-aware scheduling algorithms that combine feasibility analysis of Rate Monotonic Algorithm (RMA) schedules and DVS-based frequency scaling using exact characterization of RMA algorithm. These algorithms lay the foundation for highly efficient online schemes that minimize energy consumption by adapting DVS Policies to runtime behavior of tasks and fault occurrences without violating the offline feasibility analysis. Simulation results demonstrate energy savings of up to 60% over low-energy offline scheduling algorithms [22].
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页码:690 / +
页数:2
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